Lin-Zhuo Chen (LinZhuoChen)

LinZhuoChen

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Company:Nanjing University

Location:China

Home Page:linzhuo.xyz

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NJU-3DV

Lin-Zhuo Chen's starred repositories

StoryDiffusion

Create Magic Story!

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IC-Light

More relighting!

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multinerf

A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF

Language:PythonLicense:Apache-2.0Stargazers:3577Issues:49Issues:149

Marigold

[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

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MambaOut

MambaOut: Do We Really Need Mamba for Vision?

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2d-gaussian-splatting

[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields

Language:PythonLicense:NOASSERTIONStargazers:1709Issues:40Issues:111

gdrive

Google Drive CLI Client

Language:RustLicense:MITStargazers:1353Issues:16Issues:110

flowmap

Code for "FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent" by Cameron Smith*, David Charatan*, Ayush Tewari, and Vincent Sitzmann

Language:PythonLicense:MITStargazers:835Issues:22Issues:41

instant-nsr-pl

Neural Surface reconstruction based on Instant-NGP. Efficient and customizable boilerplate for your research projects. Train NeuS in 10min!

Language:PythonLicense:MITStargazers:822Issues:30Issues:116

gaussian-opacity-fields

Gaussian Opacity Fields: Efficient and Compact Surface Reconstruction in Unbounded Scenes

Language:PythonLicense:NOASSERTIONStargazers:593Issues:32Issues:67

gaussian_surfels

Implementation of the SIGGRAPH 2024 conference paper "High-quality Surface Reconstruction using Gaussian Surfels".

PhysDreamer

Code for PhysDreamer

dn-splatter

DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing

Language:PythonLicense:Apache-2.0Stargazers:339Issues:16Issues:35

DG-Mesh

Dynamic Gaussian Mesh: Consistent Mesh Reconstruction from Monocular Videos

Language:PythonLicense:MITStargazers:263Issues:35Issues:5

refusion

ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals

Language:C++License:NOASSERTIONStargazers:257Issues:19Issues:14

fast-gaussian-rasterization

A geometry-shader-based, global CUDA sorted high-performance 3D Gaussian Splatting rasterizer. Can achieve a 5-10x speedup in rendering compared to the vanialla diff-gaussian-rasterization.

Language:PythonLicense:MITStargazers:233Issues:12Issues:5

DNGaussian

[CVPR'24] DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization

Language:PythonLicense:NOASSERTIONStargazers:214Issues:10Issues:31

awesome-dust3r

🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.

License:MITStargazers:208Issues:25Issues:0

flatten

Pytorch Implementation of FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing (ICLR 2024)

Language:PythonLicense:Apache-2.0Stargazers:173Issues:8Issues:3

dynamic_stereo

[CVPR 2023] DynamicStereo: Consistent Dynamic Depth from Stereo Videos.

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:158Issues:8Issues:13

Physics3D

Official implementation of Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion

Language:PythonLicense:MITStargazers:119Issues:2Issues:2

FlowFormerPlusPlus

FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation

GaussianFlow

GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation

graphist

Official Repo of Graphist

SparseGS

Codebase for SparseGS paper

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DaRF

Official code implementation of "DäRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation"(NeurIPS 2023)

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MonoNeRF

[ICCV 2023] This is the official implementation of our paper "MonoNeRF: Learning a Generalizable Dynamic Radiance Field from Monocular Videos".

Language:PythonLicense:NOASSERTIONStargazers:61Issues:4Issues:6

Mani-GS

Official implementation of "Mani-GS: Gaussian Splatting Manipulation with Triangular Mesh"

gaussian-splatting-msplat

3D Gaussian Splatting for Real-Time Radiance Field Rendering with MSplat as the Kernel

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